Christian Migliaccio’s Post

Much of what organizations need for compute, storage, and networking can be found in HPE’s expansive GreenLake hybrid cloud services platform – and much of the AI work being done by enterprises, institutions, and others is being done in the cloud – a lot of HPC is still being done on premises. #HPEGreenLake

OCI is leading the pack in cloud infrastructure performance with its ability to support HPC, Exadata, Autonomous Database, and GPU-powered AI and ML applications. What sets OCI apart is its scalable, low-latency network that supports remote direct memory access (RDMA) for lightning-fast performance. Check out this article for more details on how OCI is building a high-performance network in the public cloud. #OCI #cloudinfrastructure #HPC #AI #machinelearning #Exadata #AutonomousDatabase #GPU #publiccloud #oracle https://lnkd.in/gY4SkF-t

< The Cloud & HPC Power AI Innovation > High-performance computing (HPC) enables the world’s sharpest minds to design, test, and optimize new products and services. But traditional on-premises HPC comes with high upfront costs, limited ability to scale, and burdensome HPC hardware management . Add the cloud and HPC accelerates AI by accessing infrastructure and services for model training and inference.  https://lnkd.in/ePbqcBmd

Checkout Hugo's discussion with Sycomp and IBM dynamically caching data using GPFS/Storage Scale of on-prem and Cloud Storage data...tackling the storage growth, performance, and cost challenges all at the same time. #sycomp @googlecloud @hpc @ai https://lnkd.in/dz_Xp39Y

AI workloads often need to access private data of a company. Would you prefer to send data into the cloud or keep under your control if you were in that company? "If you have petabytes, do you want to move data to compute or compute to data?” - Hence perhaps only move data if absolutely required, else stay put. #hpegreenlake #hpeezmeral #hpeandnvidia #twoisbetterthanone #hpesingapore

👀 Looking for a portable cloud at a fraction of the cost of the big 3? Discover the potential of bare metal cloud for your AI/ML workloads or database. https://lnkd.in/g2K4NcSc QBO’s container-based technology runs on any server and provides: 🚀 Direct access to bare metal performance 💪 Full control over CPU/RAM 💰 Up to 75% reduction in computing costs Intrigued? Let's connect and explore the possibilities. #CloudComputing #ModernCloud #Kubernetes #Docker #AI #ML

Running large scale HPC simulations on Cloud requires capacity planning for Scalability, Performance & Cost. In this article, we share some of the best practices on capacity planning for running SLURM on AWS. We dive deep into Instance type selections, Storage, Network, Placement Groups, Licensing, etc. https://lnkd.in/gZNRi2Fe #SLURM #CloudHPC #CapacityPlanning #HPConAWS #AWSParallelCluster

Excited to announce our partnership with Storj By combining CUDOS decentralized cloud computing with Storjsecure storage, we're creating a powerful ecosystem for AI and Web3 applications. This collaboration boosts scalability, efficiency, and sustainability, providing businesses and developers with cost-effective, robust solutions. Read more in our press release👇👇👇 #Web3 #AI #CUDOS #Collaboration #Scalability

It's concise, engaging, and effectively highlights the key benefits of the partnership.